The diversity of regression ensembles combining bagging and random subspace method

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5507 LNCS, Issue PART 2, 2009, Pages 911-918

  Scherbart, Alexandra ^a   Nattkemper, Tim W ^a  

^a BIELEFELD UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BASE LEARNERS; BENCHMARK DATA; CHARACTERISTIC FACTORS; ENSEMBLE LEARNING; LOCAL LINEAR; LOCAL LINEAR APPROXIMATION; NON-LINEARITY; PREDICTIVE POWER; RANDOM SUBSPACE METHOD; VARIANCE-COVARIANCE; VECTOR QUANTIZATION ALGORITHMS;

APPROXIMATION ALGORITHMS; CONTENT BASED RETRIEVAL; DATA PROCESSING;

VECTOR QUANTIZATION;

EID: 70349087319     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-03040-6_111     Document Type: Conference Paper

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